Dragon Finance Corpus
Collection
▓▒░ A balanced corpus of public financial data across ten product classes — US and global official, keyless sources; every figure hub-measured. ░▒▓ • 11 items • Updated • 1
Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1539, in _prepare_split_single
for key, record in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 621, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 131, in _generate_examples
for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
for filename, f in tar_iterator:
^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
~~~~~~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1419, in _iter_from_urlpath
with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 976, in xopen
file_obj = fs.open(paths[0], mode)
File "<string>", line 3, in open
File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
return self._mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
return self._execute_mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
result = effect(*args, **kwargs)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 794, in wrapped
tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
~~~^^^^^^^^
TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1379, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 956, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1401, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1579, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
zip unknown | __key__ string | __url__ string |
|---|---|---|
"UEsDBBQACAgIAAkuXF0AAAAAAAAAAAAAAAASAAAAV1NfRUVSX2Nzdl9jb2wuY3N2XNjLrixbkh3WX+EHpIA0Ww8zaxaJLIAQKUr(...TRUNCATED) | ./WS_EER_csv_col | "hf://datasets/dragonlimited/Dragon-Finance-FX@039db9dd1795cd69ba068dcb53e779f0d2ca476c/bis/0000.tar(...TRUNCATED) |
"UEsDBBQACAgIAEIuXF0AAAAAAAAAAAAAAAASAAAAV1NfWFJVX2Nzdl9jb2wuY3N2VL3drizJkaX3KvMAVUCZuf1eUhw2QIDdg8N(...TRUNCATED) | ./WS_XRU_csv_col | "hf://datasets/dragonlimited/Dragon-Finance-FX@039db9dd1795cd69ba068dcb53e779f0d2ca476c/bis/0000.tar(...TRUNCATED) |
null | ./D | "hf://datasets/dragonlimited/Dragon-Finance-FX@039db9dd1795cd69ba068dcb53e779f0d2ca476c/ecb/0000.tar(...TRUNCATED) |
null | ./fredgraph | "hf://datasets/dragonlimited/Dragon-Finance-FX@039db9dd1795cd69ba068dcb53e779f0d2ca476c/federalreser(...TRUNCATED) |
Dragon Finance — fx
stored: 40.85 MB · shards: 5 · class: fx · sources: US + global official
Foreign exchange — official US reference rates.
Part of the Dragon Finance Corpus — US public financial data from federal and official sources only. Nothing licensed, paywalled or registration-only.
Coverage
| Reference rates | Federal Reserve H.10: EUR, JPY, GBP, CNY, CAD, MXN, CHF, AUD and more |
| Trade-weighted | broad and AFE dollar indices |
Size
| metric | value |
|---|---|
| stored | 40.85 MB |
| shards | 5 |
Sources present
| source | jurisdiction | data | licence |
|---|---|---|---|
| BIS | global | policy rates, exchange rates, credit | BIS terms |
| ECB | EU | official euro reference rates | ECB terms |
| Federal Reserve | US | Z.1 accounts, SCF, DFA | public |
| progress.png | n/a | n/a | n/a |
What you can do with it
- Build FX panels from official rates
- Convert and deflate cross-border figures
For engineers
Data is stored as tar shards (the hub caps a directory at 10,000 files and these tiers run to millions). Members keep their original names and relative paths.
import tarfile
with tarfile.open("0000.tar") as tf:
print(tf.getnames()[:5])
tf.extractall("out/")
| shard | size |
|---|---|
README.md |
5.0 KB |
bis/0000.tar |
6.97 MB |
ecb/0000.tar |
31.81 MB |
federalreserve/h10/0000.tar |
2.03 MB |
progress.png |
38.7 KB |
Every shard records its sha256 in the pipeline ledgers; shards are append-only, so a resumed run re-uploads only what changed. A shard with a failed member is never marked complete, so missed files are retried rather than dropped.
Not advice, no warranty, no endorsement. Compiled from third-party public sources and provided 'as is': derived and model-generated content may be wrong, and source material is routinely restated, amended or superseded. No source agency, exchange or company has reviewed, approved or endorsed this dataset, and none is affiliated with its publisher. Do not use it to re-identify any person, to manipulate any market, or as the sole basis for any decision about any person, entity or instrument. Terms of use:
DISCLAIMER.md.
- Downloads last month
- 156